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of 26
pro vyhledávání: '"Nicolas Nicolov"'
Publikováno v:
Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5).
Autor:
Nicolas Nicolov, Jason S. Kessler
Publikováno v:
Handbook of Linguistic Annotation ISBN: 9789402408799
This chapter presents a rich annotation scheme for mentions, co-reference, meronymy, sentiment expressions, modifiers of sentiment expressions including neutralizers, negators, and intensifiers, and describes a large corpus annotated with this scheme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1bce019f990975e94cb59557196a81b
https://doi.org/10.1007/978-94-024-0881-2_30
https://doi.org/10.1007/978-94-024-0881-2_30
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 3:242-245
The Latent Dirichlet Allocation topic model of Blei, Ng, and Jordan (2003) is well-established as an effective approach to recovering meaningful topics of conversation from a set of documents. However, a useful analysis of user-generated content is c
Autor:
Jason Kessler, Nicolas Nicolov
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 3:90-97
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their blog, message board, etc. posts with respect to topics expressed as a searc
Autor:
Sylvie Levesque, Wlodek Zadrozny, Nicolas Nicolov, Margo Budzikowska, Nanda Kambhatla, Joyce Y. Chai
Publikováno v:
Communications of the ACM. 43:116-120
Publikováno v:
Current Issues in Linguistic Theory ISBN: 9789027248077
Recent Advances in Natural Language Processing IV: Selected papers from RANLP 2005
Recent Advances in Natural Language Processing IV: Selected papers from RANLP 2005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a789a5d63851d1680220c7cbe8692ae3
https://doi.org/10.1075/cilt.292
https://doi.org/10.1075/cilt.292
Autor:
Nicolas Nicolov, Franco Salvetti
Publikováno v:
HLT-NAACL
This paper shows that in the context of statistical weblog classification for splog filtering based on n-grams of tokens in the URL, further segmenting the URLs beyond the standard punctuation is helpful. Many splog URLs contain phrases in which the